OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Information Systems is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)

Article	Citations
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising	1820
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	450
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	316
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation	201
Hop-wise Planning with Iterative Explainable Self-Correction for Knowledge Base Question Answering	185
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	165
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	155
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	129
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	125
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	109
DiffuRec: A Diffusion Model for Sequential Recommendation	103
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	102
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	101
ID-centric Pre-training for Recommendation	99
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	98
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	96
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	96
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	93
Revisiting Conversation Discourse for Dialogue Disentanglement	91
FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation	90
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	89
Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts	86
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	84
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	74
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems	73

MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	73
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	68
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	67
Bias and Debias in Recommender System: A Survey and Future Directions	65
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	64
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	62
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation	62
Collaborative Sequential Recommendations via Multi-view GNN-transformers	62
Enhancing ID-based Recommendation with Large Language Models	61
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems	60
Learning Discrete Identifiers and Dense Vectors for Generative Retrieval	59
A Review Selection Method Based on Consumer Decision Phases in E-commerce	59
Toward Best Practices for Training Multilingual Dense Retrieval Models	59
On the User Behavior Leakage from Recommender System Exposure	57
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	57
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	57
On the Use of LLMs for Relevance Labelling	55
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	54
Listwise Generative Retrieval Models via a Sequential Learning Process	54
RAGnRoll: Learning to Iteratively Retrieve and Generate Attributable Answer Snippets	53
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction	53
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems	50
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion	49
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	49
Cluster-Based Graph Collaborative Filtering	48
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	48
OpenEP: Open-Ended Future Event Prediction	47
Variational Type Graph Autoencoder for Denoising on Event Recommendation	46
Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach	44
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	43
Adaptive Query Performance Prediction for Retrieval-Augmented Generation: Bridging Retrieval Quality and Generation Relevance	43
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	42
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	40
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	40
CEILLM: Confidence-Aware Dynamic Fusion of Collaborative Embedding-Infused Large Language Models for Conversational Recommendation	40
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	40
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	39
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	39
EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation	39
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	39
Angle-QPP: Improving Query Performance Prediction through Large Language Models and Angle Interaction in Complex Vector Space	38
User Behavior Simulation for Search Result Re-ranking	38
Contrastive Self-supervised Learning in Recommender Systems: A Survey	38
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models	37
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models	37
Causal Inference in Recommender Systems: A Survey and Future Directions	37
SPARK-KT: Illuminating Student Cognition through Stepwise Prerequisite-Aware Reasoning in Knowledge Tracing	37
Sequential Recommendation with Multiple Contrast Signals	36
Graph Neural Pre-training for Recommendation with Side Information	36
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	35

Meta-Learning to Rank for Sparsely Supervised Queries	35
Average User-Side Counterfactual Fairness for Collaborative Filtering	34
Personality Dialogue Agent Based on Personality Description and Conversation History	34
Explaining Recommendation Fairness from a User/Item Perspective	33
Corrigendum: One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	33
On Elastic Language Models	31
Adaptive Temporal Expert Routing with Hierarchical Wavelet Enhancement for Multi-Modal Sequential Recommendation	31
Reinforcement Routing on Proximity Graph for Efficient Recommendation	31
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding	31
Beyond Pointwise: Exploring Comparative Approaches for Predicting Query Performance Using LLMs	30
Geometric-Augmented Self-Distillation for Graph-Based Recommendation	30
Knowledge Graph Pruning for Recommendation	28
Towards Goal-oriented Intelligent Tutoring Systems in Online Education	27
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	26
SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation	26
Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation	26
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors	26
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	26
Multi-Agent Attacks for Black-Box Social Recommendations	26
A Survey on the Memory Mechanism of Large Language Model-based Agents	26
Triple Sequence Learning for Cross-domain Recommendation	25
Online and Offline Evaluation in Search Clarification	25
TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation	25
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	25
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?	25
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	24
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	24
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	24
The In-Situ Effect of Offensive Ads on Search Engine Users	24
Corrigendum: A Content- and Context-Aware Click Model Based on Dynamic Graph Neural Networks	23
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM	23
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	23
DRAR: Diffusion-Based Relation Augmentation for Knowledge-aware Recommendation	23
Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog	23
Towards Efficient Coarse-grained Dialogue Response Selection	23
LLM-FSGNN: LLM-Guided Feature-Structure Augmentation Graph Neural Network for Cold-Start Recommendation	23
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	22
Ranking Models for the Temporal Dimension of Text	22
Post-Training Attribute Unlearning in Recommender Systems	21
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	21
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	21
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	20
Knowledge Base Embedding for Sampling-Based Prediction	20
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	20
Decomposition, Think and Action: Alleviating Hallucinations of Large Language Models with Reasoning–Evidence Interactive Augmented Graph	20
Now That Your System Has Been Reproduced, What Does This Mean for the Users?	20
How Can Recommender Systems Benefit from Large Language Models: A Survey	20
Stopping Methods for Technology-assisted Reviews Based on Point Processes	20
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant	20
Rethinking User Retention Modeling in Recommendation	20
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	20
Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective	20
Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems	19
EffiPOI: A Product Quantization Framework Based on Knowledge Distillation for Efficient POI Recommendations	19
Inverse Contrastive Representation Learning for Post-Click Conversion Rate Estimation	19
Rebalancing Discriminative Responses for Knowledge Tracing	19
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	19
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	19
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	19
Debiased Cognition Representation Learning for Knowledge Tracing	19
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	19
Person-action Instance Search in Story Videos: An Experimental Study	19
A Variational Neural Architecture for Skill-based Team Formation	18
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	18
Counterfactual Explanation for Fairness in Recommendation	18
Building a Coding Assistant via the Retrieval-Augmented Language Model	18
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System	18
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	18
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	18
Understanding Visual Saliency of Outlier Items in Product Search	17
Distributional Fairness-aware Recommendation	17
Efficient Multi-task Prompt Tuning for Recommendation	17
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	17
Debate to Extract: Enhancing Event Relation Extraction through Collaborative Debate and Agent Optimization	17
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	17
Robust Collaborative Filtering to Popularity Distribution Shift	17
Unsupervised Social Bot Detection via Structural Information Theory	17
Deep Coupling Network for Multivariate Time Series Forecasting	17
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	17
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing	17